See how leading organizations worldwide are using Amazon Rekognition to add image and video analysis to applications.
Abode Systems (Abode) offers homeowners a comprehensive suite of do-it-yourself home security solutions that enables homeowners to keep their family and property safe. Since the company’s launch in 2015, cameras have played an essential part in Abode’s solution, enabling customers to receive notifications and monitor their homes from anywhere.
"We are always focused on making technology choices that provide value to our customers and enable rapid growth while keeping costs low. With Amazon Rekognition Streaming Video Events, we could launch person, pet and package detection at a fraction of the cost of developing everything ourselves. For us it was a no-brainer, we didn’t want to create and maintain a custom computer vision service. We turned to the experts on the Amazon Rekognition team. Amazon Rekognition Streaming Video Events APIs are accurate, scalable, and easy to incorporate into our systems. The integration powers our smart notification features, so instead of a customer receiving 100 notifications a day, every time the motion sensor is triggered, they receive just two or three smart notifications when there is an event of interest present in the video stream."
Scott Beck, Chief Technology Officer - Abode Systems
3xLOGIC is a leader in commercial electronic security systems. They provide commercial security systems and managed video monitoring for businesses, hospitals, schools and government agencies. Managed video monitoring is a critical component of a comprehensive security strategy for 3xLOGIC’s customers.
“Simply relying on motion detection sensors triggers several alarms that are not a security or safety risk when there is a lot of activity in a scene. By utilizing machine learning to filter out the vast majority of such events, such as animals, shadows, moving vegetation and more, we can dramatically reduce the workload of the security operators and improve their efficiency.”
Ola Edman, Senior Director Global Video Development - 3xLOGIC
“With over 50,000 active cameras in the field, many without the advanced analytics of newer and more expensive camera models, 3xLOGIC takes on the challenge of false alarms every day,” says Charlie Erickson, CTO at 3xLOGIC Products and Solutions. “Building, training, testing, and maintaining computer vision models is resource-intensive and has a huge learning curve. With Amazon Rekognition Streaming Video Events, we simply call the API and surface the results to our users. It has been very easy to use and the accuracy is impressive.”
Charlie Erickson, Chief Technology Officer - 3xLOGIC
“In today’s media landscape, the volume of unstructured content that organizations manage is growing exponentially. Using traditional tools users can have difficulty in searching through the thousands of media assets in order to locate a specific element they are looking for. By using the new feature in Amazon Rekognition, Custom Labels, we are able to automatically generate metadata tags tailored to specific use cases for our business and provide searchable facets for our content creation teams. This significantly improves the speed in which we can search for content and more importantly it enables us to automatically tag elements that required manual efforts before. These tools allow our production teams to leverage this data directly and provides enhanced products to our customers across all of our media platforms.“
Brad Boim, Senior Director, Post Production & Asset Management, NFL Media
C-SPAN is a public service that provides gavel-to-gavel proceedings of the U.S. House of Representatives and the U.S. Senate, and to other forums where public policy is discussed, debated and decided––all without editing. With 3 network stations and 5 other video feeds, there is a lot of content that must be indexed and made searchable.
"By using Amazon Rekognition, we are able to tag who is speaking / on camera at what time down to the second, if needed. Rekognition allows us to index twice as much content as we do currently - from 3500 hours a year to 7500 hours a year which would allow us to index 100% of our first run content and it was shockingly easy to set up, even with 97,000 entities from our database.”
Alan Cloutier, Technical Manager - C-SPAN Archives
Marinus Analytics provides law enforcement with tools, founded in artificial intelligence, to turn big data into actionable intelligence. The Marinus flagship software, Traffic Jam, is a suite of tools for use by law enforcement agencies on sex trafficking investigations.
“Law enforcement needs sophisticated tools to foster victim-oriented policing in the age of the Internet. Law enforcement knew that runaway children are among the most likely to be trafficked. Before using Amazon Rekognition, their only recourse was to manually sift through online data to try to find them; this was time-intensive or not possible. Now with Traffic Jam’s FaceSearch, powered by Amazon Rekognition, investigators are able to take effective action by searching through millions of records in seconds to find victims.”
Emily Kennedy, CEO and Founder - Marinus Analytics
Rekeep is the main Italian provider of Integrated Facility Management services (E.g., the management and delivery of integrated services to private and public customers for properties, territory and healthcare operation).
Rekeep’s purchasing department performs an internal review of the suppliers compliance, by spending a considerable amount of hours per day manually reviewing thousands of documents per year. The documents include invoices and tax and wage compliance certificates from suppliers in the form of scans. Our employees are required to check, for example, that the invoice data is correct and consistent with the Supplier Relationship Management System (SRM). "The use of AI has fully automated the document pipeline for three- quarters of our documents and free up employees time for activities with higher added value, allowing us to standardize the process and make it more accurate. Moreover, we have cleared the backlog of documents and distribute the activity throughout the year to avoid peaks in volume, allowing for a seamless relationship with suppliers.”
Antonella Sangiorgi, CIO - Rekeep
Aella Credit provides instant loans to individuals with a verifiable source of income in emerging markets using biometric, employer, and mobile phone data.
“Identity verification and validation have been a major challenge in emerging markets. The ability to properly identify users is a key hindrance in building credit for billions of people in emerging markets. Using Amazon Rekognition for identity verification on our mobile application has reduced verification errors significantly and given us the ability to scale. We can now detect and verify an individual’s identity in real time without any human intervention, thereby allowing faster access to our products. We tried various well-advertised solutions, but none of the popular alternatives could accurately map out various skin tones. Amazon Rekognition helped us effectively recognize faces of our customers in our markets. It also helped us with KYC in discovering overlapping profiles and duplicate datasets."
Wale Akanbi, CTO & Co-Founder - Aella Credit
Thorn is a non-profit organization dedicated to stopping the spread of child sexual abuse material and standing up to child traffickers.
“Amazon Rekognition has been an incredible partner to Thorn by helping us leverage their image and video analysis solutions in our mission to defend children from sexual abuse. Abusers have hijacked the most advanced technology to exploit children—selling children online for sex, circulating abuse images and videos, and engaging in live-streaming abuse. AWS has chosen to be a part of the solution—partnering to leverage their solutions to help find exploited children faster and stop abuse. Collaborating with leading technology companies like Amazon Rekognition is critical to building the tools we need to find these children faster, and end the spread of child sexual abuse material."
Julie Cordua, CEO - Thorn
KYODO NEWS, founded in 1945, is a leading nonprofit cooperative news agency in Japan. It has built a reputation as the most reliable, integrated news agency in Japan, distributing not only news stories but also photos, graphics, audio and video scripts. As one of the most influential news agencies in Asia, Kyodo offers Japanese, English, and Chinese-language services.
"At KYODO NEWS, we store thousands of images daily with the total number of images reaching nearly 16 million a year. So far our internal customers use keywords to find images for publishing purposes, but this time KYODO NEWS’ MediaLab has released a face detection search service using Amazon Rekognition, called “Pot de”. “Pot de” automatically registers new faces from images we publish every day. If an image doesn’t have metadata of the person, users can search images by face detection function using an existing picture, and this enables internal customers to find the right pictures quickly, significantly reducing cycles spent on search. Going forward, KYODO NEWS’ MediaLab aims to build broader image search services such as auto-tagging for celebrities and classification using the Custom Labels feature within Rekognition."
Mr. Ryoji Torii, Senior Deputy Director - Media Laboratory
Daniel Wellington is a European watch and jewelry manufacturer founded in 2011 that operates across more than 20 offices worldwide.
“At Daniel Wellington, just as our products are in touch with our customers’ style, we strive to identify and be in touch with our customers’ needs. To support our customers in the best way possible, we’ve been using AWS since 2014, utilizing services including Amazon Elastic Cloud Compute (EC2), AWS Lambda, Amazon DynamoDB, as well as Amazon Rekognition. We realized that a common point of friction for our customers is returning an item. That’s why we have started working on creating a seamless process using Amazon Rekognition. This image recognition service allows us to automate our process and identify all our products and print labels that expedite our warehouse process. Rekognition has become pivotal to our returns process. With it, we have been able to process returns 15 times faster and with higher accuracy than we could before, thereby eliminating the friction point and creating a better brand experience for our customers.”
Lezgin Bakircioglu, Head of Global IT Operations - Daniel Wellington
Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for television, the internet and emerging platforms.
“Licensing media assets is essential to Scripps Networks, Interactive. Consistent and accurate media metadata enables our enterprise and customers to quickly find what they want. Human-based metadata tagging is time-consuming and tedious, and productivity and efficiency can be greatly increased through automation. Amazon Rekognition enables us to quickly and efficiently add value through various automated metadata tagging processes, and images and video segments are much easier to find for our enterprise and our customers. This allows us to increase cycle times, productivity, and efficiency, and adds revenue opportunities that benefit our bottom line."
Shane Murphy, Solutions Engineer - Scripps Networks
The Mainichi Newspapers is one of the major newspapers in Japan. It also publishes paperbacks, books and other magazines, including a weekly news magazine.
"The Mainichi Newspapers provides a large number of news photographs on a daily basis, including our own web sites, smart phone applications, and corporate sales. When we deliver news photos to a variety of users, we need to process them by enlargement, reduction, and clipping. These tasks require manual work to judge the composition and content of the photograph one by one, and the price was enormous both in terms of time and cost. We successfully reduced the cost associated to these tasks and can now meet our customers’ needs in volume much faster by leveraging Amazon Rekognition for process automation to recognize and analyze human faces, enabling automated analysis of human face’s position, size, number and composition in the blink of an eye, with no human work. We also enabled trimming and resizing without losing content of original photos."
Yuzi Mori, Solutions Architect, Digital Media - The Mainichi Newspapers Co. Ltd
K-STAR Group is an entertainment company that provides concert ticketing and payment services.
“As an entertainment company, we provide concert ticketing and payment services for our customers. A recurring pain point at concerts is the long line that attendees wait in to provide proof of their purchased paper ticket and then have it validated at the entrance. To solve this issue, we developed a ‘Face Ticket’ service using Amazon Rekognition. Now, attendees can quickly verify their purchase rather than waiting in line to get tickets or scan their paper ticket upon entrance. The concerts we support no longer have lines and the attendees have enjoyed the convenience and fun experience of using our new ‘Face Ticket’ system. When we were developing this service we compared Rekognition with other local facial analysis services, and we ultimately decided to use Rekognition due to its scalability with S3 and the seamless integration with other AWS services.”
Hyojin Kim, Chairman - K-STAR Group
Make.TV creates technology and solutions that open pathways for hyper-local live video to be created and shared between content creators, producers, programmers, and advertisers with scale, speed, and relevance previously not possible.
“Using AI in content acquisition enables broadcasters to find relevant content out of the masses within short time. We enable broadcasters to acquire huge volumes of user generated content through Live Video Cloud, our cloud-agnostic solution for content acquisition and curation. For broadcasters, this increase in the number of assets they can tap into is great: it increases audience participation in programs and can be utilized live to enhance a news segment, sports broadcast, entertainment TV show or esports tournament stream. To help our clients select the most relevant video while minimizing latency, we use computer vision services and deep learning-based video analysis. Amazon Rekognition is a great addition to our Live Video Cloud solution and enables us to utilize AI for live scenarios in esports, sports, news, and entertainment.”
Andreas Jacobi, CEO - Make.TV
POPSUGAR Inc. is a global media and technology company that delivers multi-platform content to a global audience of over 400 million.
“We use Amazon Rekognition to identify celebrities in our huge digital asset library. Amazon Rekognition enabled us to stop manually tagging thousands of photos and provides us with much needed automation for our ever-growing library.”
Bjorn Pave, Sr. Director of IT - POPSUGAR
Mapillary is a collaborative street-level imagery platform that allows people and organizations to upload geo-tagged photos, which can then be used by customers to improve their mapping systems or applications.
“This work with Amazon Rekognition allows us create a solution to help improve parking across US cities. City authorities are struggling to keep track of their parking signs and data. For cities to manually track this themselves would cost millions of taxpayers’ dollars, not to mention the enormous time investment. We believe that working with Amazon Web Services, and Amazon Rekognition in particular, will help us work towards creating automated, computer vision-driven parking solutions that help cities save time and money.”
Jan Erik Solem, CEO - Mapillary
Open Influence is a market leader in the influencer marketing space. Their advanced technology solutions and award-winning services allow global brands and agencies to identify relevant influencers based on their campaign objectives, while effectively predicting and monitoring campaign performance.
“We index a colossal amount of social data every day. Through our partnership with Rekognition, we are able to deploy real-time visual search into our existing influencer search engine. This has added incredible value to our business and to our clients. In our first week of use, we ran Rekognition against tens of millions of social images. After running a handful of samples to determine the accuracy of the label detection, we found our confidence level to be extremely high compared to other image recognition platforms we evaluated. Amazon tools allow us to maintain our edge as the technology leader in the influencer marketing space."
Micky Dionisio, CTO - Open Influence
Soul Platform makes building dating apps easy. Their customizable cloud back-end platform includes features such as user registration, flexible matching, chats, media and data storage, in-app support, push notifications, and analytics.
"We abide by very strict policies on user-generated content in apps, requiring developers to provide a method for filtering objectionable material from being posted, blocking offensive users, and quickly respond to reported content. With Amazon Rekognition, we are able to detect objectionable content before it’s posted while minimizing the need of human involvement. Now our customers can enable automatic image moderation in their Soul-powered apps at the flick of a switch."
Alexey Strelkov, Co-founder - Soul
Happy Snap, from Go Girl Apps, is a find-and-seek adventure mobile app, designed by kids for kids, that encourages children to search, explore, and actively learn about objects in the world around them.
"We needed the best possible image recognition and labeling solution and after testing many products, Amazon Rekognition was by far the fastest and most reliable."
Rebecca Skinner, Founder - Go Girl Apps
TheTake works with movie studios and TV networks to make their content shoppable, which enables viewers to identify and buy the products they see on screen.
"Amazon Rekognition allows us to scalably identify and track actors across millions of frames of content with much higher reliability than any other solution we've used."
Jared Browarnik, Co-Founder and CTO - TheTake
Artfinder is an online art marketplace, allowing thousands of artists to sell directly to buyers. Artfinder can match its customers with art they will love with their recommendation tools built on AWS.
"AWS gives us state-of-the-art applications like Amazon Rekognition that make our business possible. I got a prototype of our service up and running within four hours and into production within a week."
David Tilleyshort, CTO - Artfinder
FamilySearch is the largest genealogical organization in the world and is dedicated to connecting families across generations.
"FamilySearch developed 'Compare-a-Face' using Rekognition to help site users see which of their ancestors they most resemble based on family photographs. Rekognition was used to provide an engaging experience that helped people relate to their forbearers in a new way. We look forward to using Amazon Rekognition in the future for other potential face matching experiences."
Tom Creighton, CTO & Lead Architect - FamilySearch
HERE Technologies powers mapping, navigation, and location solutions for enterprise customers. Their mission is to create a digital representation of reality to radically improve the way everyone and everything lives, moves, and interacts.
“We use Amazon Rekognition to enrich our mapping content. Rekognition’s Text in Image allows us to continually update signage information so our customers have the latest information at their fingertips. We look forward to continuing our partnership with AWS and implementing their computer vision solutions in more of our products.”
Rajkumar Jain, Director of Engineering - HERE Technologies
Influential is a premier AI powered influencer marketplace. Influential eliminates the pain point of identifying influencers by leveraging AI and machine learning to suggest influencers through actionable insights and predictive intelligence.
"In addition to our in-house AI/ML algorithms, we partner with third parties to enrich our datasets in order to better facilitate influencer sourcing. Amazon Rekognition object and scene detection allows us to better segment our influencer population into specific verticals and topics based on what media they post alongside their social media content. By extending our search capabilities beyond just text, we allow for better training of our Brand Match Score, which when combined with Rekognition’s user-friendly tags & labels increase our hit-rate on user queries by over 200%."
Piotr Tomasik, CTO - Influential
Limbik is the first Data Studio for short-form video. Using artificial intelligence, Limbik has developed a set of technology-enabled processes to predict what content will be successful, with the attributes that perform and the analytics explaining why.
“Amazon Rekognition is a key aspect of Limbik Annotate, our video analysis stack that leverages machine learning and human analysis to identify key attributes of short-form video content. Having evaluated multiple third-party video annotation services, Rekognition is the most precise, efficient and seamless to integrate as part of a broader video analysis process.”
Zach Schwitzky, CEO & Co-founder - Limbik
VidMob is a technology platform that connects marketers with a global network of expert editors, animators, and motion graphic designers.
“Performance data isn’t a problem, but understanding why certain creative assets work better than others, and then having the ability to act on that information is. By building VidMob’s Agile Creative Suite™ on top of Amazon Rekognition, we are addressing two of the most significant marketer pain points. To date, our Agile Creative Suite has analyzed over 40,000 creative assets with Rekognition. The granularity of the data from Rekognition allows us to surface incredible insights for our clients, and enables them to see their content in a whole new way.”
Alex Collmer, CEO & Founder - VidMob
We started FanFight in 2018 to bring disruption to the fantasy sports world in India. We pride ourselves on our customer focus and always seek to deliver the best experience for our users.
"Our manual review of customer support tickets was slow, and the majority of the tickets were for user profile verification on our platform. We now use Amazon Rekognition to process user-submitted identity proof in real time. That change reduced the manual queue of our operations team by 67%, as well as streamlined and accelerated the process for the user. We are now able to handle an increased number of daily requests, and we’ve reduced our turn-around time for full profile verification from 2 days to less than a minute in most cases. In addition to these benefits, the Amazon Rekognition-powered auto-verification that we’ve implemented has driven an 80% decline in support tickets for user verification that require manual work."
Mukul Anand, VP of Product - FanFight
Sen Corporation is an industry leader in children photo services in Japan and provides "Hi, Cheese!" photo service.
“We have large collections of photos that our users bought or uploaded to our platform in the past. We often need to search for photos of a particular user’s child within these collections, and have been using Amazon Rekognition to make it easier for parents to find their children from tens of thousands of photos. Amazon Rekognition processes large number of photos very fast and accurate, and parents are happy to easily find photos they are looking for. As a result, we improved conversion ratio.”
Daichi Kumagai, Engineering Department Manager - Sen Corporation
“As we have lot of group photos with dozens of small faces, we previously had to crop and divide the original image to detect all faces correctly. By using the new crowd face detection feature, now we can easily detect all the faces in one go without any complicated preprocessing."
Shinji Miyazato, Engineering Department SRE Lead - Sen Corporation
As competitive athletes in several disciplines, Sportograf has a natural affinity for sports. Their mission is to respect and honor the performance of every athlete with professional quality pictures.
“With millions of pictures generated from sporting events, our challenge was to organize photos by bib number with high speed and accuracy. In searching for a solution, Sportograf decided not to work with special QR codes or other markers since they introduce a large and complex workload, making it impossible to respond to spontaneous customer requests. To solve this challenge, Amazon Rekognition for text recognition, and Amazon SageMaker enabled us to build our own Machine Learning solution to further identify the racers’ bib-numbers, in near real-time.”
Tom Janas, Managing Director - Sportograf
CampSite is a leading software platform for summer camps. We serve hundreds of camps across the US and the world with a full suite of functionality including enrollment, staffing, media hosting, and more.
"Our camps upload hundreds of photos each day to connect parents to their child’s camp experience. With thousands of images from each camp to manually sort though, finding photos of their camper became a time-consuming and frustrating task for parents. CampSite has been all-in on Amazon Web Services since day one. We leverage dozens of AWS services and we were confident that Amazon Rekognition would deliver high-quality results with the usage-based pricing model we were used to. Rekognition has allowed CampSite to continue its goal of being the technology leader in the summer camp software space. The value-add of automatically notifying parents when a new photo of their camper has been uploaded is a huge differentiator for CampSite, which is made possible with Rekognition."
Matthew Cavagnaro, General Manager & COO - CampSite
Sygic provides world-class GPS navigation for over 200 million users.
"Photos of sights and attractions play a key role in travel research, and choosing the right photos can dramatically improve a traveler’s engagement with a listing. Since we already host photos in Amazon S3, using Amazon Rekognition to help us classify our entire photo collection was fast and easy. By searching for certain keywords in the classification data we are able to automatically flag images that are likely to be irrelevant, as well as promote the ones that are likely to be the most useful to our users. Extracting this meaningful metadata from our images was an easy lift for us since Rekognition is a simple-to-use API service."
Lukáš Nevosád, Vice President Travel - Sygic
The White House Historical Association (WHHA) is a private educational non-profit founded in 1962 to support the White House and the Park Service in the preservation of the house, and to further understanding and awareness of the history of the Executive Mansion.
"Since 1962 the WHHA has published a physical guide book, "The White House: An Historic Guide," which provides an overview of the rooms and the collections within the building. In 2016, the WHHA decided the time had come to create a digital tool that would offer a virtual guide to the White House. We wanted to include some entertaining features to keep audiences engaged, which includes the Presidential Lookalike tool. This lets users upload a selfie and run a comparison to see which President or First Lady they most resemble, based on the collection of portraits held by WHHA. The relationship between WHHA and AWS was probably the key factor in selecting Rekognition, but we actually selected the mobile app platform based on how well the potential vendors could work with AWS technology and could integrate Rekognition into their existing platforms. Using an already-built solution saved a great deal of time and money in order to make our spring 2018 launch date, and the scalability of cloud-based tools meant that the Rekognition feature in the app was something the WHHA would be able to sustain for some time without incurring unreasonable expense. AWS worked closely with us and with Cuseum, the vendor whose mobile app platform we selected, to make sure everything worked smoothly.”
Stephanie Tuszynski, AWS Director of the Digital Library - WHHA
Wisio turns social media influencers into service providers for their fans, offering them a new way of monetization. On our platform, fans can purchase exclusive services and guidance from the influencers they love most.
"Wisio uses Amazon Rekognition to identify and categorize the demographic analysis of social media influencers (vloggers and bloggers). A critical component of our platform is the ability to recommend relevant and related influencers to the site visitors, who would be most likely to gain from and purchase their products and services. In the social media realm, many influencers speak about the same topic or product, though we as individuals, each relate to different typecasts and archetypes of influencers. With the understanding that extreme personalization is the new personalization, and with the help of Rekognition's features, we built an additional personalization layer, that also matches the typecasts of presenters, in addition to the standard topics and products recommendation."
Adam Frank, CTO - Wisio
Wia is where people and things go to talk. Their mission is to make it possible for anyone to connect anything to the Internet, creating the next generation of the physical web.
“We thrive on making it possible for anyone to push the boundaries of their imagination, rather than getting stuck in the technical details. The combination of Flow Studio and Amazon Rekognition’s facial detection allows developers on our platform to turn their devices into smart, useful cameras within a matter of minutes. We chose to use Rekognition for facial detection because of the high accuracy and how simple it was to integrate into our application.”
Conall Laverty, CEO & Founder - Wia
New Engen helps companies and marketing teams perform at their peak. Our powerful technology solution fuels growth at companies across industries, geographies, and levels of maturity.
"At New Engen, our goal is to provide top marketing results to our partners. We’ve developed our in-house tools with the knowledge that a major contributor to groundbreaking results is the myriad of ways in which marketing images can communicate value to the customer. Amazon Rekognition has allowed our algorithms to analyze hundreds of thousands of images to locate subjects and materials that resonate most to our partners and their customers, by delivering consistent image tagging and analysis in an efficient period of time."
Charles Brophy, Lead Engineer and R&D Team Lead - New Engen
Carbon is a digital financial service platform powered by OneFi that provides services to underbanked individuals in West Africa through an Android mobile app, which has over 900,000 downloads.
"In May 2016, Carbon launched its mobile app for its loan application process. With the mobile app, images are constantly being generated and consumed at faster rates than before. Carbon needed to meet its growing need for image analysis for fraud detection and risk analysis. We wanted to be able to identify if a human face was truly detected in an uploaded image and identify other labels such as gender and identity. We chose Amazon Rekognition because of its ease in adding image analysis to our mobile app and the accuracy of its facial analysis"
Olawale Olaleye, Head of IT Infrastructure Engineering - OneFi
Pattern89 is the world's first data science coaching platform for paid social.
“Pattern89 uses Amazon Rekognition to provide our customers with deep data analysis including creative coaching to improve ad performance on Facebook and Instagram. Our customers have been able to implement our recommendations to reduce their ad spend, increase revenue, and improve efficiency metrics. We chose Amazon Rekognition because of its simple API, support for multiple media types, and its best-in-class labeling and face detection.”
Matt Brown, CTO - Pattern89
Woo is a leading dating app in India and for Indian diaspora globally, with a women-first approach and focus on creating meaningful relationships and conversations.
"To rapidly curate new users and ensure that profiles and photos meet our high standards, we were using manual curation to review all profile photos. For a growing business like ours, this approach could never scale fast enough. Amazon Rekognition APIs, particularly DetectFaces, provide rich image metadata that we can use to apply our business-specific quality guidelines to. Utilizing information such as number of faces, size of faces, and estimated age range, we were able to remove photo level manual curation work entirely. From a lag time of half a day, we are now able to curate images in seconds. Moreover, Amazon Rekognition has kept improving, leading to better overall quality of automatic curation over time."
Sumesh Menon, CEO & Co-Founder - Woo
Utility provides mobile resource management communications technology and services that allow utility, first responder and transit organizations to command, control and support mobile field operations.
"Amazon Rekognition video enables us to run proximity search within our AVaiLWEB application for persons of interest (including missing persons) from a live stream video as well as previously recorded incidents. This service, when coupled with BodyWorn's live streaming capability, dramatically decreases the time needed to act and provides a valuable situational awareness tool for law enforcement."
Simon Araya, CTO - Utility
Klear is a social media analytics and intelligence platform that provides social data services for brands, agencies, and enterprises.
"Our influencer search engine not only empowers marketers to easily identify influencers in any niche category and audience demographics but also provides the capability to zoom in on micro influencers and be aware of fake followers. Using Amazon Rekognition, Klear is able to combine state-of-the-art image recognition features into our machine learning algorithms, which has improved the accuracy of our classifications and predictions. We chose Rekognition because it was very simple to integrate and provided accurate feature detection."
Noam Avigdor, Founder - Klear
CA Mobile Inc. provides the matchmaking app "mimi" which is aimed at helping users find long-term relationships.
“We wanted to create a new 'search by photo' function that would allow users to 'find the person with your favorite face.' Amazon Rekognition allows us to instantaneously identify all matching members on the platform whose faces look similar to a face the user likes. Once a user uploads a photo with a face they like, "search by photo" returns the most similar-looking members on our platform. The user can then approach the profiles they like. Using Amazon Rekognition, we could leverage pre-trained machine learning models to easily incorporate sophisticated image recognition technology with just a few man-hours of work.”
Ryota Yazaki, Chief Engineer - CA Mobile Inc. mimiLab. Group Co. Ltd.
Uluru leverages the cloud to make parents’ and teachers’ lives easier. Specifically, their “En Photo” offering reduces the effort required to identify photos of kindergarteners and other schoolchildren so parents can purchase these photos.
"There are a huge number of photos taken of schoolchildren every day, which makes it hard for parents to find and purchase the special memories of their children. To relieve this challenge, Uluru uses Amazon Rekognition to help parents find these photos. They voluntarily upload or identify one photo of their child and Uluru uses it to find other matching faces, quickly and accurately surfacing all the images of a given child. Teachers love it too, as they’re able to make sure they’re taking an equal number of pictures of each child. With Uluru, photo sales have increased, helping these schools pay for education expenses and provide a great experience for their families.”
Yoshida Kazuya, Lead Engineer - Uluru
ARMED™ is dedicated to the development and integration of cutting-edge technology to combat acts of political violence, terrorism, organized criminal activities, and insider threats.
“Our specialty is on safeguarding major events in the face of increasing complex and malevolent environments. Amazon Rekognition powers ARMED™’s Data Fusion System, providing a real-time ability to track individuals in video streams and recognize persons of interest. These capabilities enable predictive analytics that supply security specialists with immediate and potentially life-saving information. We’re excited to be working with the Rekognition team in developing a world-class platform that provides security organizations and clients with enhanced situational awareness.”
Shaun Mccarthy, CEO - ARMED Inc.
OSN is MENA’s leading entertainment network with rights to broadcast in 25 countries across the region. With over 150 channels, OSN’s strength is its unbeatable range of exclusive programming led by its long-term partnerships with studio majors including Disney, HBO, NBC Universal, Fox, Paramount, MGM, Sony and DreamWorks.
“Using AWS’s AI services Amazon Rekognition and Amazon Transcribe to automate metadata tagging of our content, we reduced the amount of footage our human curators needed to review by over a third, accelerating our media supply chain and getting content to our audiences faster than ever.”
Dave Mace, Digital and Cloud Services Lead - OSN
GeoSnapShot is the global platform, for photographers, organizations and participants, who want to share, sell and download event photos.
"GeoSnapShot enables every sports participant to get great photos from any sports event. We do this through a technology platform that matches professional or talented local photographers to the event. We’ve seen great results using Amazon Rekognition and its facial recognition feature to help participants find photos of themselves quickly and easily. The introduction of the Custom Labels feature enables us to automatically capture brands on clothing, shoes, banners, and more. This will help us provide greater insights to brands and advertisers as they strive to improve their marketing strategies."
Andy Edwards, Founder & CEO - GeoSnapShot
Certipass is a UNI ISO accredited body for the certification of digital skills, and the primary provider of the international digital competency certification - EIPASS (European Informatics Passport).
"Our mission at Certipass is to ensure maximum security, objectiveness, transparency, and fairness for EIPASS digital skills certification programs. To meet this objective, we chose Amazon Rekognition to automate candidate identity verification during tests, in line with e-competence ICT User (CEN) and The Digital Competence Framework for Citizens (Joint Research Centre) frameworks. With Amazon Rekognition, we were able to build and offer a high bar remote testing experience within just 30 days."
Mario Palmiero, CEO Certipass